A new technical paper titled “Multi-Agent Reinforcement Learning for Microprocessor Design Space Exploration” was published by researchers at Harvard University and Google research groups.

Spacecraft are becoming too complex, too autonomous and too far from Earth to rely on static rules and ground-driven investigation. Multi-agent AI provides a practical, incremental, operationally ...

The Agent-R1 framework provides a path to building more autonomous agents that can reason and use tools in unpredictable, ...

Google has unveiled its Agent SDK, a comprehensive toolkit aimed at simplifying the creation and deployment of AI agents. This strategic release positions Google as a key player in the competitive AI ...

What if you could design a system where multiple specialized agents work together seamlessly, each tackling a specific task with precision and efficiency? This isn’t just a futuristic vision—it’s the ...

The landscape of artificial intelligence is undergoing a significant transformation. As the capabilities of large language models grow, we are beginning to see a shift away from isolated ...

The age of artificial intelligence (AI) isn’t defined by large language models alone. It’s defined by how enterprises use them—across customer journeys, internal operations, and revenue channels. As ...

Tech industry visionaries foresee a fundamental shift in network intelligence. Microsoft CEO Satya Nadella envisions humans collaborating with AI agent swarms, while Nvidia CEO Jensen Huang projects a ...